Job Description

About Intellectyx

Intellectyx.ai is an

AI-native innovation company

that empowers enterprises to transition from conventional digital systems to

autonomous, agentic, and data-intelligent ecosystems

. We specialize in combining

data observability

,

AI orchestration

, and

contextual intelligence

to help organizations operate faster, smarter, and with greater trust.

Role Overview

As an

AI Engineer

, you will play a key role in designing, building, and deploying

agentic AI systems

and

intelligent data pipelines

across Intellectyx's product suite and enterprise clients.

You will work at the intersection of

LLMs, data engineering, and cloud architecture

, developing adaptive AI workflows that integrate seamlessly into digital and data platforms.

This role requires a blend of strong

software engineering, data science, and system integration

skills -- ideal for someone who thrives in building next-generation

AI-native solutions

that are explainable, scalable, and autonomous.

Key Responsibilities1. AI Development & Integration

Develop and operationalize

LLM- and agent-based systems

using

AgnoAI

,

MCP

,

LangChain

,

LangGraph

, and

Langfuse

. Implement

reasoning chains, memory modules, and contextual orchestration

for autonomous agents. Integrate AI pipelines into existing

FastAPI / Django

applications and

PostgreSQL / Snowflake

data backends.

2. Data Engineering & Processing

Build and optimize

data ingestion and transformation pipelines

using

Databricks

,

Azure Data Factory

, and

Snowflake

. Enable real-time data availability for AI agents and models through semantic and vector-based retrieval. Collaborate with data scientists to train, deploy, and monitor ML/LLM models at scale.

3. Agentic Architecture Implementation

Contribute to multi-agent frameworks that enable

autonomous workflows

across digital, data, and business processes. Implement

AI governance mechanisms

, including prompt management, context versioning, and safe execution boundaries. Build APIs for inter-agent communication, feedback loops, and observability tracking.

4. Cloud & DevOps

Deploy AI services in

AWS

and

Azure

environments using containerized and serverless approaches. Implement observability tools for monitoring agent performance, cost, and latency. Work with DevOps teams on

CI/CD pipelines

,

MLOps

, and model lifecycle management.

5. Visualization & Decision Support

Collaborate with teams using

Tableau

and

Power BI

to operationalize AI-driven insights for business consumption. Enable human-in-the-loop workflows and dashboards for monitoring AI behavior and data quality.

Qualifications

3-7 years

of experience in AI, ML, or software engineering roles. Strong programming background in

Python

(FastAPI, Django, LangChain ecosystem). Hands-on experience with:

Agentic AI:

AgnoAI, MCP, LangChain, LangGraph, Langfuse, OpenAI APIs, vector databases

Data:

Snowflake, Databricks, Azure Synapse, Azure Data Factory

Cloud:

AWS, Azure, Terraform, Docker, Kubernetes

Visualization:

Tableau, Power BI Proficiency with

LLMs

,

prompt engineering

, and

embedding-based retrieval

(e.g., FAISS, pgvector). Experience with model evaluation, observability, and performance optimization. Familiarity with

Git

,

CI/CD pipelines

, and

API-based system design

.

Preferred Experience

Prior experience in building

agent-based or multi-agent orchestration systems

. Exposure to

LangGraph

or

AgnoAI orchestration pipelines

for agent collaboration. Contributions to open-source AI or MLOps projects.

Soft Skills

Excellent problem-solving, critical thinking, and analytical skills. Strong communication and collaboration abilities within cross-functional teams. Curiosity-driven mindset with a passion for experimentation and learning.

Why Intellectyx

Be part of an

AI-native engineering culture

that's pioneering

agentic intelligence

for enterprise ecosystems. Work on global-scale projects integrating

Digital, Data, AI, and Cloud

architectures. Competitive compensation, global exposure, and opportunities to lead innovation initiatives.
Job Type: Full-time

Pay: ₹15,399.01 - ₹60,067.73 per month